AI Prompt Engineer and Fine-Tuner

e2f facilitates natural communication between people and machines, transcending language, content, and culture barriers. With a profound background in data science and a robust foundation in agile translation across 200+ languages and dialects, e2f stands out by providing top-tier linguistic datasets encompassing multilingual speech, text, annotation, and quality data. These datasets are instrumental in enabling machines to comprehend human language effectively. Notably, e2f caters to esteemed clients involved in some of the world's most successful artificial intelligence (AI) and natural language processing (NLP) deployments.

About the Position: AI Prompt Engineer and Fine-Tuner

The role of AI Prompt Engineer and Fine-Tuner at e2f entails optimizing interactions with AI language models. This involves crafting effective prompts to elicit desired responses and fine-tuning the model's outputs for specific use cases. The ideal candidate possesses a robust understanding of AI language models, natural language processing, and user experience design.

Key Responsibilities:

Prompt Engineering:

  • Design and test prompts for AI language models, ensuring accuracy, relevance, and coherence in generated responses.
  • Analyze various prompting strategies to continually enhance model interactions.
Model Fine-Tuning:

  • Customize model responses for specific applications, aligning with user requirements and business objectives.
  • Collaborate with data scientists and engineers for ongoing fine-tuning based on feedback and performance metrics.
Quality Assurance:

  • Conduct rigorous testing to identify biases or inaccuracies in the model's responses.
  • Implement strategies to address identified issues, ensuring ethical and responsible AI use.
User Experience Design:

  • Collaborate with UX designers to optimize user interaction with the AI model through effective prompts and responses.
  • Develop guidelines and best practices for prompt creation and model interaction.
Documentation and Training:

  • Create comprehensive documentation on prompt engineering and fine-tuning processes.
  • Train team members on best practices and methodologies.


  • Strong understanding of AI language models, particularly GPT-4 or similar technologies.
  • Experience in natural language processing, machine learning, and data analysis.
  • Excellent problem-solving skills and creativity in prompt design.
  • Strong communication and teamwork abilities.
  • Familiarity with programming languages such as Python is a plus.

Desired Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Linguistics, AI, or a related field.
  • Proven experience in the AI and data industry with a focus on natural language processing, machine learning, and data analysis.

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